{
 "cells": [
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "讲师： 沈福利\n",
    "\n",
    "本章节目标\n",
    "* 简单的线图\n",
    "* 调整绘图: 线条 颜色 和 风格\n",
    "* 调整绘图: 轴边界限制\n",
    "* 绘制图标标签\n",
    "* matplotlib 中plt函数和ax 转化\n",
    "* 分析年度乘客总量变化情况"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# 简单的线图"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "也许所有绘图中最简单的是单个函数$y = f(x)$的可视化。在这里，我们将首先了解如何创建这种类型的简单绘图。"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {},
   "outputs": [],
   "source": [
    "%matplotlib inline\n",
    "import matplotlib.pyplot as plt # 导入matplotlib 的库\n",
    "plt.style.use('seaborn-whitegrid')\n",
    "import numpy as np # 导入数值计算库"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "对于所有的 Matplotlib 图, 我们需要创建一个 figure 和 axes. 通过下面的代码创建"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": "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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "fig = plt.figure()\n",
    "ax = plt.axes()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "在matplotlib中\n",
    "1. 图形（plt.figure类的一个实例）可以看作是一个单独的容器，其中包含表示轴、图形、文本和标签的所有对象。\n",
    "2. 轴（类plt.axes的一个实例）一个带有刻度和标签的边界框，它最终将包含构成我们可视化的绘图元素。\n",
    "\n",
    "变量名fig来引用一个图实例，ax来引用一个轴实例或一组轴实例。\n",
    "\n",
    "创建轴后，可以使用ax.plot函数绘制一些数据。让我们从一个简单的正弦曲线开始"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {
    "scrolled": true
   },
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "fig = plt.figure() # 图示例对象\n",
    "ax = plt.axes() # 轴的示例对象\n",
    "\n",
    "x = np.linspace(0, 10, 1000)\n",
    "ax.plot(x, np.sin(x));"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "或者可以使用plt的接口，直接创建图形和轴"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "plt.plot(x, np.sin(x));"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "在一个表中，创建多条线（简单函数）的图时候，我们使用plot函数来完成"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {
    "scrolled": true
   },
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "plt.plot(x, np.sin(x))\n",
    "plt.plot(x, np.cos(x));"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "下面我们调整绘制图形的风格和颜色"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## 调整绘图: 线条 颜色 和 风格"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "控制线条颜色和样式。plt.plot()函数接受可用于指定这些参数。要调整颜色，可以使用color关键字，它接受一个字符串参数"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "plt.plot(x, np.sin(x - 0), color='blue')        # specify color by name\n",
    "plt.plot(x, np.sin(x - 1), color='g')           # short color code (rgbcmyk)\n",
    "plt.plot(x, np.sin(x - 2), color='0.75')        # Grayscale between 0 and 1\n",
    "plt.plot(x, np.sin(x - 3), color='#FFDD44')     # Hex code (RRGGBB from 00 to FF)\n",
    "plt.plot(x, np.sin(x - 4), color=(1.0,0.2,0.3)) # RGB tuple, values 0 to 1\n",
    "plt.plot(x, np.sin(x - 5), color='chartreuse'); # all HTML color names supported"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "图形中线条的风格可以通过  linestyle  来指定"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "plt.plot(x, x + 0, linestyle='solid')\n",
    "plt.plot(x, x + 1, linestyle='dashed')\n",
    "plt.plot(x, x + 2, linestyle='dashdot')\n",
    "plt.plot(x, x + 3, linestyle='dotted');\n",
    "\n",
    "# For short, you can use the following codes:\n",
    "plt.plot(x, x + 4, linestyle='-')  # solid\n",
    "plt.plot(x, x + 5, linestyle='--') # dashed\n",
    "plt.plot(x, x + 6, linestyle='-.') # dashdot\n",
    "plt.plot(x, x + 7, linestyle=':');  # dotted"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## 调整绘图: 轴边界限制\n",
    "\n",
    "Matplotlib 方便数据的控制，通过 axis  ``plt.xlim()`` and ``plt.ylim()`` 方式限制数据边界"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "[<matplotlib.lines.Line2D at 0x11b2e69e8>]"
      ]
     },
     "execution_count": 6,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "plt.plot(x,np.sin(x))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "plt.plot(x, np.sin(x))\n",
    "\n",
    "plt.xlim(-1, 11)\n",
    "plt.ylim(-1.5, 1.5);"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## 绘制图标标签\n",
    "\n",
    "简要介绍绘图的标签：标题、轴标签和简单的图例。"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "plt.plot(x, np.sin(x))\n",
    "plt.title(\"first plotlib\") # 图表标题设置\n",
    "plt.xlabel(\"x\") # x 轴的标签\n",
    "plt.ylabel(\"sin(x)\"); # y 轴上的标签"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "标签的位置、大小和样式可以使用函数的可选参数进行调整。\n",
    "在一个轴中显示多条线时，创建绘图图例可能很有用。通过plt.legend（）方法完成的。"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 18,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "plt.plot(x, np.sin(x), '-g', label='sin(x)')\n",
    "plt.plot(x, np.cos(x), ':b', label='cos(x)')\n",
    "plt.axis('equal')#将横轴纵轴的定标系数设成相同值\n",
    "\n",
    "plt.legend();"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## matplotlib 中plt函数和ax 转化\n",
    "\n",
    "大多数plt函数直接转换为ax方法（例如``plt.plot()`` → ``ax.plot()``, ``plt.legend()`` → ``ax.legend()``等），但并非所有命令都是如此。\n",
    "\n",
    "- ``plt.xlabel()``  → ``ax.set_xlabel()``\n",
    "- ``plt.ylabel()`` → ``ax.set_ylabel()``\n",
    "- ``plt.xlim()``  → ``ax.set_xlim()``\n",
    "- ``plt.ylim()`` → ``ax.set_ylim()``\n",
    "- ``plt.title()`` → ``ax.set_title()``\n",
    "\n",
    "在面向对象的绘图界面中，使用ax.set()方法一次性设置所有这些属性通常更方便，而不是单独调用这些函数"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 16,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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i7Y7UVMDBQXYaKo8lSwA/P7EM7OOPa7PPUhWI//znP+bOQTbslVfE3DJJScDg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\nIiJSxQJBRESqWCCIiEgVCwQREan6f8M6gCXBCtQMAAAAAElFTkSuQmCC\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x107f67cc0>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "ax = plt.axes()\n",
    "ax.plot(x, np.sin(x))\n",
    "ax.set(xlim=(0, 10), ylim=(-2, 2),\n",
    "       xlabel='x', ylabel='sin(x)',\n",
    "       title='A Simple Plot');"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# 分析年度乘客总量变化情况"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 108,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "pd version =  0.23.4\n",
      "np version =  1.16.2\n"
     ]
    }
   ],
   "source": [
    "# 导入所有的库\n",
    "%matplotlib inline\n",
    "import matplotlib.pyplot as plt\n",
    "import pandas as pd\n",
    "import numpy as np\n",
    "\n",
    "print('pd version = ',pd.__version__)\n",
    "print('np version = ',np.__version__)\n",
    "\n",
    "# python 中matplotlib 仅支持Unicode ，默认是不显示中文的。\n",
    "#防止中文乱码问题\n",
    "# 设置绘图的全局参数\n",
    "# 因此在复制完字体文件之后，需要运行下面的语句以重新创建字体索引列表\n",
    "from matplotlib.font_manager import _rebuild\n",
    "_rebuild()\n",
    "mpl.rcParams['font.sans-serif']=[u'SimHei']\n",
    "mpl.rcParams['axes.unicode_minus']=False"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 109,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>year</th>\n",
       "      <th>month</th>\n",
       "      <th>passengers</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>1949</td>\n",
       "      <td>January</td>\n",
       "      <td>112</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>1949</td>\n",
       "      <td>February</td>\n",
       "      <td>118</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>1949</td>\n",
       "      <td>March</td>\n",
       "      <td>132</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>1949</td>\n",
       "      <td>April</td>\n",
       "      <td>129</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>1949</td>\n",
       "      <td>May</td>\n",
       "      <td>121</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "   year     month  passengers\n",
       "0  1949   January         112\n",
       "1  1949  February         118\n",
       "2  1949     March         132\n",
       "3  1949     April         129\n",
       "4  1949       May         121"
      ]
     },
     "execution_count": 109,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "data  = pd.read_csv('data/flights.csv',index_col=0)\n",
    "data.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 110,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "(144, 3)"
      ]
     },
     "execution_count": 110,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "data.shape # 表示144 行，3 列"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 111,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>passengers</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>year</th>\n",
       "      <th></th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>1949</th>\n",
       "      <td>1520</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1950</th>\n",
       "      <td>1676</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1951</th>\n",
       "      <td>2042</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1952</th>\n",
       "      <td>2364</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1953</th>\n",
       "      <td>2700</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "      passengers\n",
       "year            \n",
       "1949        1520\n",
       "1950        1676\n",
       "1951        2042\n",
       "1952        2364\n",
       "1953        2700"
      ]
     },
     "execution_count": 111,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# 按照年份分组，passengers 求和\n",
    "# sql 语法： select year,sum(passengers) from flights group by year\n",
    "# pandas 语法: pandas group sum 完成上述的操作\n",
    "\n",
    "data_flights = data.groupby(by = 'year').sum()\n",
    "data_flights.head()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "我们看下绘制的线性图的x和y轴的数据是什么呢？"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 112,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "x =  [1949, 1950, 1951, 1952, 1953, 1954, 1955, 1956, 1957, 1958, 1959, 1960]\n"
     ]
    }
   ],
   "source": [
    "x = data_flights.index\n",
    "print('x = ',list(x))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 113,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "y =  [1520 1676 2042 2364 2700 2867 3408 3939 4421 4572 5140 5714]\n"
     ]
    }
   ],
   "source": [
    "y = data_flights['passengers'].values\n",
    "print('y = ',y )"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "下面我们可以通过plot 函数会绘制图表"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 114,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Text(0.5,1,'每年中国游客数')"
      ]
     },
     "execution_count": 114,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "_,axe = plt.subplots()\n",
    "\n",
    "\n",
    "plt.plot(list(x),list(y))\n",
    "\n",
    "# 网格设置\n",
    "plt.grid(True)\n",
    "\n",
    "# 设置标题说明\n",
    "plt.xlabel('Year',fontsize = 20)\n",
    "plt.ylabel('Passengers',fontsize = 20)\n",
    "# 设置坐标轴的刻度数值的大小\n",
    "plt.xticks(fontsize = 15)\n",
    "plt.yticks(fontsize = 15)\n",
    "\n",
    "# 增加标题说明\n",
    "plt.title('每年中国游客数')"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "上述问题mac 下出现的问题，主要原因mac matplotlib 没有这个字体"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "MAC matplotlib 解决方案：\n",
    "\n",
    "\n",
    "提供给大家的字体拷贝到指定的目录下，我这里的目录\n",
    "\n",
    "\n",
    "/Users/zhengwenjie/anaconda3/lib/python3.7/site-packages/matplotlib/mpl-data/fonts/ttf\n"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "\n",
    "一、下载字体\n",
    "1. 添加SimHei字体（simhei.ttf文件）\n",
    "\n",
    "     到/Users/rise/anaconda3/lib/python3.6/site-packages/matplotlib/mpl-data/fonts/ttf/（下载地址：黑体字体simhei.ttf）\n",
    "\n",
    "2. 删除~/.matplotlib/下的所有缓存文件\n",
    "\n",
    "     rm -rf ~/.matplotlib/*.cache\n",
    "\n",
    "3. 删除~/.matplotlib/下的fontList.json\n",
    "\n",
    "     rm -f ~/.matplotlib/fontList.json\n",
    "\n",
    "\n",
    "\n",
    "二.然后修改~python安装路径/site-packages/matplotlib/mpl-data/matplotlibrc文件。根据实际情况修改，找到如下两项，去掉前面的#，并在font.sans-serif冒号后面加上SimHei，保存退出。\n",
    "\n",
    "font.family         : sans-serif       \n",
    "\n",
    "font.sans-serif     : SimHei, Bitstream Vera Sans, Lucida Grande,Verdana, Geneva, Lucid, Arial, Helvetica, Avant Garde, sans-serif    \n",
    "\n",
    "同时将找到axes.unicode_minus，将True改为False，作用就是解决负号'-'显示为方块的问题\n",
    "\n",
    " \n",
    "\n",
    "三.代码加入以下两段\n",
    "\n",
    "#matplotlib不会每次启动时都重新扫描所有的字体文件并创建字体索引列表，\n",
    "#因此在复制完字体文件之后，需要运行下面的语句以重新创建字体索引列表\n",
    "\n",
    "from matplotlib.font_manager import _rebuild\n",
    "\n",
    "_rebuild()\n",
    "#防止中文乱码问题\n",
    "\n",
    "mpl.rcParams['font.sans-serif']=[u'SimHei']\n",
    "\n",
    "mpl.rcParams['axes.unicode_minus']=False\n",
    "\n"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "MAC matplotlib 乱码解决方案：\n",
    "\n",
    "https://blog.csdn.net/qq_24326765/article/details/82467154    \n",
    "https://www.cnblogs.com/Ootori/p/7716687.html    "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  }
 ],
 "metadata": {
  "anaconda-cloud": {},
  "kernelspec": {
   "display_name": "Python 3",
   "language": "python",
   "name": "python3"
  },
  "language_info": {
   "codemirror_mode": {
    "name": "ipython",
    "version": 3
   },
   "file_extension": ".py",
   "mimetype": "text/x-python",
   "name": "python",
   "nbconvert_exporter": "python",
   "pygments_lexer": "ipython3",
   "version": "3.7.2"
  },
  "toc": {
   "base_numbering": 1,
   "nav_menu": {},
   "number_sections": true,
   "sideBar": true,
   "skip_h1_title": false,
   "title_cell": "Table of Contents",
   "title_sidebar": "Contents",
   "toc_cell": false,
   "toc_position": {},
   "toc_section_display": true,
   "toc_window_display": true
  }
 },
 "nbformat": 4,
 "nbformat_minor": 1
}
